ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.06559
  4. Cited By
Graph Structure of Neural Networks

Graph Structure of Neural Networks

13 July 2020
Jiaxuan You
J. Leskovec
Kaiming He
Saining Xie
    GNN
ArXivPDFHTML

Papers citing "Graph Structure of Neural Networks"

50 / 64 papers shown
Title
Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities
Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities
Katarzyna Filus
Michał Romaszewski
Mateusz Żarski
26
0
0
14 Apr 2025
Geometric Properties and Graph-Based Optimization of Neural Networks: Addressing Non-Linearity, Dimensionality, and Scalability
Michael Wienczkowski
Addisu Desta
Paschal Ugochukwu
AI4CE
GNN
39
0
0
24 Feb 2025
Scale Equivariant Graph Metanetworks
Scale Equivariant Graph Metanetworks
Ioannis Kalogeropoulos
Giorgos Bouritsas
Yannis Panagakis
42
6
0
15 Jun 2024
Rule Based Learning with Dynamic (Graph) Neural Networks
Rule Based Learning with Dynamic (Graph) Neural Networks
Florian Seiffarth
28
1
0
14 Jun 2024
Optimal Recurrent Network Topologies for Dynamical Systems
  Reconstruction
Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction
Christoph Jurgen Hemmer
Manuel Brenner
Florian Hess
Daniel Durstewitz
14
3
0
07 Jun 2024
Graph Expansion in Pruned Recurrent Neural Network Layers Preserve
  Performance
Graph Expansion in Pruned Recurrent Neural Network Layers Preserve Performance
Suryam Arnav Kalra
Arindam Biswas
Pabitra Mitra
Biswajit Basu
GNN
20
0
0
17 Mar 2024
Principled Architecture-aware Scaling of Hyperparameters
Principled Architecture-aware Scaling of Hyperparameters
Wuyang Chen
Junru Wu
Zhangyang Wang
Boris Hanin
AI4CE
28
1
0
27 Feb 2024
Neuron-centric Hebbian Learning
Neuron-centric Hebbian Learning
Andrea Ferigo
Elia Cunegatti
Giovanni Iacca
15
0
0
16 Feb 2024
Graph Metanetworks for Processing Diverse Neural Architectures
Graph Metanetworks for Processing Diverse Neural Architectures
Derek Lim
Haggai Maron
Marc T. Law
Jonathan Lorraine
James Lucas
AI4CE
22
30
0
07 Dec 2023
Unveiling Invariances via Neural Network Pruning
Unveiling Invariances via Neural Network Pruning
Derek Xu
Yizhou Sun
Wei Wang
31
0
0
15 Sep 2023
NAR-Former V2: Rethinking Transformer for Universal Neural Network
  Representation Learning
NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning
Yun Yi
Haokui Zhang
Rong Xiao
Nan Wang
Xiaoyu Wang
GNN
14
2
0
19 Jun 2023
Understanding Sparse Neural Networks from their Topology via
  Multipartite Graph Representations
Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations
Elia Cunegatti
Matteo Farina
Doina Bucur
Giovanni Iacca
11
1
0
26 May 2023
InterGen: Diffusion-based Multi-human Motion Generation under Complex
  Interactions
InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions
Hanming Liang
Wenqian Zhang
Wenxu Li
Jingyi Yu
Lan Xu
DiffM
VGen
14
97
0
12 Apr 2023
Beyond Multilayer Perceptrons: Investigating Complex Topologies in
  Neural Networks
Beyond Multilayer Perceptrons: Investigating Complex Topologies in Neural Networks
T. Boccato
Matteo Ferrante
A. Duggento
N. Toschi
17
0
0
31 Mar 2023
When Brain-inspired AI Meets AGI
When Brain-inspired AI Meets AGI
Lin Zhao
Lu Zhang
Zihao Wu
Yuzhong Chen
Haixing Dai
...
Xi Jiang
Xiang Li
Dajiang Zhu
Dinggang Shen
Tianming Liu
AI4CE
32
89
0
28 Mar 2023
Core-Periphery Principle Guided Redesign of Self-Attention in
  Transformers
Core-Periphery Principle Guided Redesign of Self-Attention in Transformers
Xiao-Xing Yu
Lu Zhang
Haixing Dai
Yanjun Lyu
Lin Zhao
Zihao Wu
David Liu
Tianming Liu
Dajiang Zhu
GNN
15
9
0
27 Mar 2023
CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network
CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network
Lin Zhao
Haixing Dai
Zihao Wu
Dajiang Zhu
Tianming Liu
16
1
0
27 Mar 2023
GraphPNAS: Learning Distribution of Good Neural Architectures via Deep
  Graph Generative Models
GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models
Muchen Li
Jeffrey Liu
Leonid Sigal
Renjie Liao
GNN
17
4
0
28 Nov 2022
Efficient Automatic Machine Learning via Design Graphs
Efficient Automatic Machine Learning via Design Graphs
Shirley Wu
Jiaxuan You
J. Leskovec
Rex Ying
GNN
17
1
0
21 Oct 2022
Towards Better Generalization with Flexible Representation of
  Multi-Module Graph Neural Networks
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks
Hyungeun Lee
Kijung Yoon
AI4CE
23
2
0
14 Sep 2022
4Ward: a Relayering Strategy for Efficient Training of Arbitrarily
  Complex Directed Acyclic Graphs
4Ward: a Relayering Strategy for Efficient Training of Arbitrarily Complex Directed Acyclic Graphs
T. Boccato
Matteo Ferrante
A. Duggento
N. Toschi
14
2
0
05 Sep 2022
Improving Deep Neural Network Random Initialization Through Neuronal
  Rewiring
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring
Leonardo F. S. Scabini
B. De Baets
Odemir M. Bruno
AI4CE
8
6
0
17 Jul 2022
Coupling Visual Semantics of Artificial Neural Networks and Human Brain
  Function via Synchronized Activations
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations
Lin Zhao
Haixing Dai
Zihao Wu
Zhe Xiao
Lu Zhang
...
Xintao Hu
Xi Jiang
Sheng R. Li
Dajiang Zhu
Tianming Liu
10
7
0
22 Jun 2022
Transition to Linearity of General Neural Networks with Directed Acyclic
  Graph Architecture
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture
Libin Zhu
Chaoyue Liu
M. Belkin
GNN
AI4CE
8
4
0
24 May 2022
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
Guangji Bai
Ling-Hao Chen
Liang Zhao
OOD
AI4TS
AI4CE
8
27
0
21 May 2022
Brain Cortical Functional Gradients Predict Cortical Folding Patterns
  via Attention Mesh Convolution
Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution
Li Yang
Zhibin He
Changhe Li
Jun-Feng Han
Dajiang Zhu
Tianming Liu
Tuo Zhang
11
0
0
21 May 2022
A Unified and Biologically-Plausible Relational Graph Representation of
  Vision Transformers
A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers
Yuzhong Chen
Yu Du
Zhe Xiao
Lin Zhao
Lu Zhang
...
Dajiang Zhu
Tuo Zhang
Xintao Hu
Tianming Liu
Xi Jiang
ViT
19
5
0
20 May 2022
Deep Architecture Connectivity Matters for Its Convergence: A
  Fine-Grained Analysis
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
Wuyang Chen
Wei Huang
Xinyu Gong
Boris Hanin
Zhangyang Wang
17
7
0
11 May 2022
On Redundancy and Diversity in Cell-based Neural Architecture Search
On Redundancy and Diversity in Cell-based Neural Architecture Search
Xingchen Wan
Binxin Ru
Pedro M. Esperancca
Zhenguo Li
17
20
0
16 Mar 2022
Evolving Neural Networks with Optimal Balance between Information Flow
  and Connections Cost
Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost
A. Khalili
A. Bouchachia
9
0
0
12 Feb 2022
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
Jaeyeon Ahn
Taehyeon Kim
Seyoung Yun
22
0
0
02 Feb 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and
  Directions
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions
Xin Wang
Ziwei Zhang
Haoyang Li
Wenwu Zhu
23
2
0
04 Jan 2022
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion
  Perspective
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective
Lanning Wei
Huan Zhao
Zhiqiang He
AI4CE
16
42
0
29 Dec 2021
Network Graph Based Neural Architecture Search
Network Graph Based Neural Architecture Search
Zhenhan Huang
Chunheng Jiang
Pin-Yu Chen
Jianxi Gao
GNN
AI4CE
11
0
0
15 Dec 2021
Understanding the Dynamics of DNNs Using Graph Modularity
Understanding the Dynamics of DNNs Using Graph Modularity
Yao Lu
Wen Yang
Yunzhe Zhang
Zuohui Chen
Jinyin Chen
Qi Xuan
Zhen Wang
Xiaoniu Yang
26
9
0
24 Nov 2021
Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow
  Simulation
Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow Simulation
A. Haeri
K. Skonieczny
AI4CE
12
2
0
18 Nov 2021
Leveraging the Graph Structure of Neural Network Training Dynamics
Leveraging the Graph Structure of Neural Network Training Dynamics
Fatemeh Vahedian
Ruiyu Li
Puja Trivedi
Di Jin
Danai Koutra
AI4CE
GNN
11
3
0
09 Nov 2021
RGP: Neural Network Pruning through Its Regular Graph Structure
RGP: Neural Network Pruning through Its Regular Graph Structure
Zhuangzhi Chen
Jingyang Xiang
Yao Lu
Qi Xuan
Xiaoniu Yang
12
1
0
28 Oct 2021
Parameter Prediction for Unseen Deep Architectures
Parameter Prediction for Unseen Deep Architectures
Boris Knyazev
M. Drozdzal
Graham W. Taylor
Adriana Romero Soriano
OOD
12
78
0
25 Oct 2021
Quantifying Local Specialization in Deep Neural Networks
Quantifying Local Specialization in Deep Neural Networks
Shlomi Hod
Daniel Filan
Stephen Casper
Andrew Critch
Stuart J. Russell
58
10
0
13 Oct 2021
Understanding and Accelerating Neural Architecture Search with
  Training-Free and Theory-Grounded Metrics
Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics
Wuyang Chen
Xinyu Gong
Junru Wu
Yunchao Wei
Humphrey Shi
Zhicheng Yan
Yi Yang
Zhangyang Wang
21
9
0
26 Aug 2021
Generalization of graph network inferences in higher-order graphical
  models
Generalization of graph network inferences in higher-order graphical models
Yicheng Fei
Xaq Pitkow
14
0
0
12 Jul 2021
GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep
  Neural Network
GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network
Zuohui Chen
Renxuan Wang
Jingyang Xiang
Yue Yu
Xin Xia
S. Ji
Qi Xuan
Xiaoniu Yang
21
1
0
09 Jul 2021
Exploring Robust Architectures for Deep Artificial Neural Networks
Exploring Robust Architectures for Deep Artificial Neural Networks
Asim Waqas
Ghulam Rasool
Hamza Farooq
N. Bouaynaya
OOD
AAML
8
14
0
30 Jun 2021
Graph Neural Networks in Network Neuroscience
Graph Neural Networks in Network Neuroscience
Alaa Bessadok
Mohamed Ali Mahjoub
I. Rekik
GNN
8
166
0
07 Jun 2021
Livewired Neural Networks: Making Neurons That Fire Together Wire
  Together
Livewired Neural Networks: Making Neurons That Fire Together Wire Together
Thomas Schumacher
11
4
0
17 May 2021
Graph-based Neural Architecture Search with Operation Embeddings
Graph-based Neural Architecture Search with Operation Embeddings
Michail Chatzianastasis
George Dasoulas
Georgios Siolas
Michalis Vazirgiannis
AI4CE
4
10
0
11 May 2021
The Elastic Lottery Ticket Hypothesis
The Elastic Lottery Ticket Hypothesis
Xiaohan Chen
Yu Cheng
Shuohang Wang
Zhe Gan
Jingjing Liu
Zhangyang Wang
OOD
23
34
0
30 Mar 2021
RAN-GNNs: breaking the capacity limits of graph neural networks
RAN-GNNs: breaking the capacity limits of graph neural networks
D. Valsesia
Giulia Fracastoro
E. Magli
GNN
16
7
0
29 Mar 2021
Clusterability in Neural Networks
Clusterability in Neural Networks
Daniel Filan
Stephen Casper
Shlomi Hod
Cody Wild
Andrew Critch
Stuart J. Russell
GNN
8
30
0
04 Mar 2021
12
Next